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Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.
Neutron beams are used around the world to study materials for various purposes.
Through the use of splicing methods, joining two different fiber types in the tow stage of the process enables great benefits to the strength of the material change.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.